In our experiments, we use a generalization of the mixup process from [1]} for mixture width \(k\) . Instead of a Beta distribution, convex coefficients are drawn from a Dirichlet distribution \(\text{Dir}[\alpha , \dots , \alpha ]\)  of order \(k\)  with interpolation parameter \(\alpha = 1.\)
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